In [2]:
!curl https://storage.yandexcloud.net/academy.ai/practica/parkinsons.data > parkinsons.data
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 40697 100 40697 0 0 156k 0 --:--:-- --:--:-- --:--:-- 157k
In [45]:
import pandas as pd
from xgboost import XGBClassifier
from sklearn.model_selection import train_test_split
import plotly.express as px
import plotly.graph_objs as go
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
init_notebook_mode(connected=True)
import numpy
In [46]:
from ydata_profiling import ProfileReport
In [47]:
df = pd.read_csv("parkinsons.data")
In [48]:
profile = ProfileReport(df,
title='Pandas Profiling Report')
In [5]:
profile.to_widgets()
Summarize dataset: 0%| | 0/5 [00:00<?, ?it/s]
Generate report structure: 0%| | 0/1 [00:00<?, ?it/s]
Render widgets: 0%| | 0/1 [00:00<?, ?it/s]
VBox(children=(Tab(children=(Tab(children=(GridBox(children=(VBox(children=(GridspecLayout(children=(HTML(valu…
In [6]:
profile
Render HTML: 0%| | 0/1 [00:00<?, ?it/s]